🗓️ February 2025 Build Log
February 2025 was a concentrated, high-output month focused on AI automation, document chunking, RAG pipelines, LangGraph/Langflow, metadata handling, and course design. This sprint log captures advanced systems I developed as a solo ML/AI engineer.
✅ Feb 27: Autoencoders for Socioeconomic Embedding
I developed an MLP autoencoder for census-based representation learning using BigQuery and Python pipelines, exploring ethics and dimensionality.
🔗 Repo
🔗 Notebook
✅ Feb 23: Automated Curriculum Builder with Bibliography Tooling
I created a modular AI-driven curriculum builder, including automated bibliography and syllabus generation for teaching frameworks.
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✅ Feb 18–21: FAISS-Based Summarization and Retrieval Enhancements
I developed multi-pass summarization and embedding workflows, resolved integration issues, and implemented improved FAISS pipeline resets.
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✅ Feb 17: Graph-Based Retrieval and Email Data NLP Pipelines
I built graph-based document search with Cassandra, enhanced metadata NLP and email embeddings, and structured a memory system for entity-aware retrieval.
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🔗 Notebook
✅ Feb 14–15: Langflow Automation & Flowise Integration
I explored and debugged Flowise for automated knowledge workflows, implemented webhook flows, and resolved system dependencies.
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✅ Feb 10–12: RAG System Modularization + FAISS Indexing Toolkit
I unified the RAG codebase into discrete modules, integrated FAISS, enhanced embedding/query pipelines, and refactored the DirectoryProcessor for reliability.
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🔗 Docs
✅ Feb 07–08: LangGraph-Based Book Composer with ChunkHandler
I developed and refactored a system for document drafting via chunk routing, LangGraph workflow design, and AI agent composition.
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🔗 Diagram
✅ Feb 05–06: Modular Financial Processing Engine
I refactored accounting and bill management into a pivot-based, modular processing system for financial documents and ledgers.
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🔗 Notebook
✅ Feb 04: AI-Powered Political Consultancy Framework
I designed a modular AI strategy engine for political scenario modeling and discourse structuring, focusing on workflow design, modularity, and use-case alignment.
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✅ Feb 01–03: Supabase File Sync & Metadata-Powered RAG System
I built an automated Supabase-integrated file ingestion pipeline for RAG indexing, including error handling,
created_at
patching, and vector DB integration.
🔗 Repo
🔗 Diagram
Tags
RAG
, FAISS
, LangGraph
, Langflow
, ML Infrastructure